:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zeng, Hui, Cui, Sanshuai, Chen, Biwei, Peng, Anjie
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2412.20807
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability
by: Zeng, Hui, et al.
Published: (2025)

Enhancing targeted transferability via feature space fine-tuning
by: Zeng, Hui, et al.
Published: (2024)

Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System
by: Su, Haoyang, et al.
Published: (2024)

SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher
by: Dao, Trung, et al.
Published: (2024)

Selective Fine-Tuning for Targeted and Robust Concept Unlearning
by: Mansi, et al.
Published: (2026)

Better Supervised Fine-tuning for VQA: Integer-Only Loss
by: Qian, Baihong, et al.
Published: (2025)

Segmentor-Guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
by: Xia, Tian, et al.
Published: (2025)

Improving Medical Visual Reinforcement Fine-Tuning via Perception and Reasoning Augmentation
by: Yang, Guangjing, et al.
Published: (2026)

Learning to Transform Dynamically for Better Adversarial Transferability
by: Zhu, Rongyi, et al.
Published: (2024)

Fine-Tuning is Fine, if Calibrated
by: Mai, Zheda, et al.
Published: (2024)

Cream of the Crop: Harvesting Rich, Scalable and Transferable Multi-Modal Data for Instruction Fine-Tuning
by: Lyu, Mengyao, et al.
Published: (2025)

Is Pre-training Truly Better Than Meta-Learning?
by: Miranda, Brando, et al.
Published: (2023)

Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding
by: Gu, Xin, et al.
Published: (2025)

DiffusionTalker: Efficient and Compact Speech-Driven 3D Talking Head via Personalizer-Guided Distillation
by: Chen, Peng, et al.
Published: (2025)

Geo-R1: Improving Few-Shot Geospatial Referring Expression Understanding with Reinforcement Fine-Tuning
by: Zhang, Zilun, et al.
Published: (2025)

Visual Agentic Reinforcement Fine-Tuning
by: Liu, Ziyu, et al.
Published: (2025)

Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging
by: Jiang, Meirui, et al.
Published: (2023)

CST: Calibration Side-Tuning for Parameter and Memory Efficient Transfer Learning
by: Chen, Feng
Published: (2024)

Low-rank Attention Side-Tuning for Parameter-Efficient Fine-Tuning
by: Tang, Ningyuan, et al.
Published: (2024)

BoxTuning: Directly Injecting the Object Box for Multimodal Model Fine-Tuning
by: Qian, Zekun, et al.
Published: (2026)

Better Safe Than Sorry? Overreaction Problem of Vision Language Models in Visual Emergency Recognition
by: Choi, Dasol, et al.
Published: (2025)

FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding
by: Tu, Chongjun, et al.
Published: (2025)

Beyond Generation: Unlocking Universal Editing via Self-Supervised Fine-Tuning
by: Chen, Harold Haodong, et al.
Published: (2024)

Neural Network Optimization Reimagined: Decoupled Techniques for Scratch and Fine-Tuning
by: Ning, Xin, et al.
Published: (2026)

Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation
by: Zeng, Shuang, et al.
Published: (2025)

Are a Thousand Words Better Than a Single Picture? Beyond Images -- A Framework for Multi-Modal Knowledge Graph Dataset Enrichment
by: Zhang, Pengyu, et al.
Published: (2026)

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs
by: Zhang, Xiaofeng, et al.
Published: (2024)

Multimodal Language Models See Better When They Look Shallower
by: Chen, Haoran, et al.
Published: (2025)

Harnessing Large Vision and Language Models in Agriculture: A Review
by: Zhu, Hongyan, et al.
Published: (2024)

Memory-Efficient Fine-Tuning for Quantized Diffusion Model
by: Ryu, Hyogon, et al.
Published: (2024)

Hierarchy-Aware Fine-Tuning of Vision-Language Models
by: Li, Jiayu, et al.
Published: (2025)

Remodeling Semantic Relationships in Vision-Language Fine-Tuning
by: Wu, Xiangyang, et al.
Published: (2025)

Oracle-RLAIF: An Improved Fine-Tuning Framework for Multi-modal Video Models through Reinforcement Learning from Ranking Feedback
by: Shi, Derek, et al.
Published: (2025)

Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models
by: Tan, Huajie, et al.
Published: (2025)

Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy
by: Yang, Yiting, et al.
Published: (2025)

Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation
by: Wu, Wenyuan, et al.
Published: (2025)

Differentially Private Fine-Tuning of Diffusion Models
by: Tsai, Yu-Lin, et al.
Published: (2024)

Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction
by: Khan, Muhammad Tayyab, et al.
Published: (2024)

RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
by: Varma, Maya, et al.
Published: (2024)

2Xplat: Two Experts Are Better Than One Generalist
by: Jeong, Hwasik, et al.
Published: (2026)